TCGA-TCIA Impact on Radiogenomics Cancer Research: A Systematic Review

Area of Science:

• Oncology
• Radiology
• Genomics
• Bioinformatics

Background:

• Radiogenomics research correlates imaging features with molecular signatures from next-generation sequencing.
• Many studies are limited by small patient cohorts.
• The Cancer Genome Atlas (TCGA) and The Cancer Imaging Archive (TCIA) provide crucial linked molecular and imaging data.

Purpose of the Study:

• To systematically review radiogenomic studies utilizing TCGA and TCIA data.
• To organize findings by tumor type and molecular data.
• To discuss key imaging-genomic associations, study limitations, and clinical impact.

Main Methods:

• Systematic literature collection and analysis of radiogenomic studies.
• Data organization based on tumor type and molecular omics signatures.
• Review focused on studies leveraging TCGA and TCIA datasets.

Main Results:

• Identified numerous imaging-genomic associations across various tumor types.
• Highlighted limitations such as data heterogeneity and cohort size.
• Demonstrated the value of TCGA-TCIA resources in advancing radiogenomics.

Conclusions:

• Radiogenomics, powered by large datasets like TCGA-TCIA, shows significant potential for integrated diagnostics.
• Improved accuracy in cancer diagnosis and patient outcome prediction is achievable.
• Further research is needed to overcome existing limitations and enhance clinical translation.